AI Engineer

Quantbot; Bengaluru; Hybrid; INR 800,000 - 1,600,000; Full time

Job summary

Quantbot is hiring for an AI engineer in Bengaluru to build and deploy LLM-powered applications. You will develop Agentic AI systems with LangChain & LangGraph, and create multi-step agents with planning, routing, and tool orchestration.

Responsibilities include designing RAG pipelines, embeddings, and vector databases, plus implementing function calling, API integrations, and deployment on GCP/Vertex AI. Strong Python/Pydantic skills and MLOps experience are valued.

Qualifications

• Bachelor's or Master's degree in CS/Engineering/Data Science or related field

Responsibilities

• Build and deploy LLM-powered applications using GPT, Claude, Llama and other frontier models
• Develop Agentic AI systems with LangChain & LangGraph
• Build multi-step agents with planning, tool use, routing and orchestration
• Design and optimize RAG pipelines, embeddings, vector databases and hybrid search
• Develop scalable AI applications using Python, Pydantic and async frameworks
• Implement function calling, API integrations and tool orchestration
• Deploy production AI workloads on GCP / Vertex AI
• Work on data ingestion and scraping pipelines using tools such as Playwright and BeautifulSoup
• Implement evaluation, guardrails, monitoring and structured outputs for reliable AI systems

Skills

Python

LLMs

RAG

LangChain

LangGraph

GCP

Vertex AI

Pydantic

Vector Databases

Function Calling

APIs

Agentic AI

LoRA adapters

Multimodal models

MLOps

Docker

Kubernetes

Model evaluation

Education

Bachelor's/Master's degree in Computer Science, Engineering, Data Science or a related field

Job description

Batch: 2020/2021/2022/2023/2024/2025.

Responsibilities

• - Build and deploy LLM-powered applications using GPT, Claude, Llama and other frontier models
• - Develop Agentic AI systems with LangChain & LangGraph
• - Build multi-step agents with planning, tool use, routing and orchestration
• - Design and optimize RAG pipelines, embeddings, vector databases and hybrid search
• - Develop scalable AI applications using Python, Pydantic and async frameworks
• - Implement function calling, API integrations and tool orchestration
• - Deploy production AI workloads on GCP / Vertex AI
• - Work on data ingestion and scraping pipelines using tools such as Playwright and BeautifulSoup
• - Implement evaluation, guardrails, monitoring and structured outputs for reliable AI systems

Key Skills

• - Python
• - LLMs
• - RAG
• - LangChain
• - LangGraph
• - GCP
• - Vertex AI
• - Pydantic
• - Vector Databases
• - Function Calling
• - APIs
• - Agentic AI
• - Experience with LoRA/adapters, multimodal models, MLOps, Docker/Kubernetes and model evaluation will be an added advantage

Qualifications

• - Bachelor's/Master's degree in Computer Science, Engineering, Data Science or a related field
• - Experience: 1-6 years

Note: Please share your updated resume along with: Current CTC, Expected CTC, Notice Period, Total Experience